Automatic Detection of Longitudinal Changes for Retinal Fundus Images Based on Low-Rank Decomposition-Reference-Cited by-同舟云学术

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Automatic Detection of Longitudinal Changes for Retinal Fundus Images Based on Low-Rank Decomposition

Published:2018-02-01 Issue:2 Volume:8 Page:284-294
ISSN:2156-7018
Container-title:Journal of Medical Imaging and Health Informatics
language:en
Short-container-title:j med imaging hlth inform

Author:

Fu Yinghua,Wang Chongyang,Wang Yao,Chen Benzhi,Peng Qing,Wang Lisheng

Publisher

American Scientific Publishers

Subject

Health Informatics,Radiology, Nuclear Medicine and imaging

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Changed Detection Based on Patch Robust Principal Component Analysis;Applied Sciences;2022-07-31

2. Change detection based on unsupervised sparse representation for fundus image pair;Scientific Reports;2022-06-14

3. Abnormality detection in retinal image by individualized background learning;Pattern Recognition;2020-06

4. Change detection based on tensor RPCA for longitudinal retinal fundus images;Neurocomputing;2020-04

5. RetinaMatch: Efficient Template Matching of Retina Images for Teleophthalmology;IEEE Transactions on Medical Imaging;2019-08

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